Finance and Accounting Rotational Program
  • Type Experience
  • Level N/A
  • Time Hours
  • Cost Paid
Additional Details

Finance and Accounting Rotational Program

Issued by University of Denver

Participants who complete the FAR Program gain skills in the areas of data analytics, visualization, storytelling, advanced statistics, financial analysis, modeling, generative AI, and digital leadership. They will excel in data-driven decision-making, and in crafting compelling narratives to inspire action and strategic decision-making. Overall, students will have the ability to drive informed, data-backed strategies that will fuel innovation.

  • Type Experience
  • Level N/A
  • Time Hours
  • Cost Paid
Additional Details

Skills

Earning Criteria

  • Analytics for Digital Transformation: This session introduces students to the business data landscape, data management in commercial organizations, and the data-driven decision-making process. Exercises include predictive analytics using Excel to perform multiple linear regression.
  • Data Preparation and Visualization with Power BI: In these three sessions, students learn how to use Microsoft's Power BI software to manipulate, analyze and visualize large data sets, turning mountains of data into compelling arguments and visual dashboards that present analytic insights and potentially drive business strategy and change.
  • Data Storytelling: Data Storytelling is about giving numbers the proper voice to inspire an audience to action. In these sessions, students learn how to create an effective data story. They will practice their new skills by preparing a presentation based on an actual business challenge at Lumen which requires data and data analytics to solve.
  • Advanced Statistics Workshop 1 - Exploratory Data Analysis, Data Cleansing, Preparation: Learn how to use python on a free-ware analytic platform and GitHub for software and data repository; explore a data set for insights; clean the data and prepare it for statistical analysis.
  • Advanced Statistics Workshop 2 - Preparation for Financial Analytics: Prepare a realistic data set, including probability, distributions, and their impact on statistical testing; implement and interpret statistical tests; define the concepts of linear regression; and explore its use cases.
  • Financial Analytics Workshop 1: Quantitative Methods (Financial Analytics): Use techniques of financial analytics to compare Lumen’s data to other telecoms. Assess differences and links between market strategy, financial structure and business success.
  • Financial Analytics Workshop 2 - Quantitative Methods (Financial Modeling): Students will develop prospective models of technology strategies and their financial implications. They will construct scenarios and models to assess the viability and impact of alternative strategies, and learn how to present them to senior leadership for maximum effectiveness.
  • Generative AI: Participants will have an overview of the technology, analyze potential business uses to assist knowledge workers and their productivity, learn strategies and principles for working with Copilot, and define a practical application for Copilot for implementation.
  • Digital Leadership Workshop 1 - Principles and Practices of Digital Transformation: This course examines the foundations of digital transformation while analyzing their impact on the business. Students work on a case to diagnose the firm’s ability to transform by evaluating its digital capabilities to produce stakeholder value.
  • Digital Leadership Workshop 2 - Business Model Innovation and Change Leadership: Leaders learn how to evaluate Lumen’s business model and strategy to accelerate it through the digital realm, then develop a proposal to present to executive leadership.